Seeking a New RL Paradigm for Both Alignment and Execution
saurabh_shah2 · x · 2026-08-10
A developer proposed the need for a new reinforcement learning paradigm that can achieve both human alignment and strong task execution capabilities.
This follows a critique of current methods: traditional RLHF is viewed as "alignment by default," potentially lacking execution drive. Meanwhile, the emerging RLVR (Reinforcement Learning with Verifiable Rewards) effectively pushes models to get things done but risks turning them into a "paperclip factory"—blindly optimizing for metrics at the expense of alignment.
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